Datasets:
antitheft159
/
creditcarddataanalysis

Dataset card Data Studio Files
xet
Community
1
ID
int64
1
400
Income
float64
10.4
187
Limit
int64
855
13.9k
Rating
int64
93
982
Cards
int64
1
9
Age
int64
23
98
Education
int64
5
20
Gender
stringclasses
2 values
Student
stringclasses
2 values
Married
stringclasses
2 values
Ethnicity
stringclasses
3 values
Balance
int64
0
2k
301
21.786
4,632
355
1
50
17
Male
No
Yes
Caucasian
580
302
31.335
3,526
289
3
38
7
Female
No
No
Caucasian
172
303
59.855
4,964
365
1
46
13
Female
No
Yes
Caucasian
295
304
44.061
4,970
352
1
79
11
Male
No
Yes
African American
414
305
82.706
7,506
536
2
64
13
Female
No
Yes
Asian
905
306
24.46
1,924
165
2
50
14
Female
No
Yes
Asian
0
307
45.12
3,762
287
3
80
8
Male
No
Yes
Caucasian
70
308
75.406
3,874
298
3
41
14
Female
No
Yes
Asian
0
309
14.956
4,640
332
2
33
6
Male
No
No
Asian
681
310
75.257
7,010
494
3
34
18
Female
No
Yes
Caucasian
885
311
33.694
4,891
369
1
52
16
Male
Yes
No
African American
1,036
312
23.375
5,429
396
3
57
15
Female
No
Yes
Caucasian
844
313
27.825
5,227
386
6
63
11
Male
No
Yes
Caucasian
823
314
92.386
7,685
534
2
75
18
Female
No
Yes
Asian
843
315
115.52
9,272
656
2
69
14
Male
No
No
African American
1,140
316
14.479
3,907
296
3
43
16
Male
No
Yes
Caucasian
463
317
52.179
7,306
522
2
57
14
Male
No
No
Asian
1,142
318
68.462
4,712
340
2
71
16
Male
No
Yes
Caucasian
136
319
18.951
1,485
129
3
82
13
Female
No
No
Caucasian
0
320
27.59
2,586
229
5
54
16
Male
No
Yes
African American
0
321
16.279
1,160
126
3
78
13
Male
Yes
Yes
African American
5
322
25.078
3,096
236
2
27
15
Female
No
Yes
Caucasian
81
323
27.229
3,484
282
6
51
11
Male
No
No
Caucasian
265
324
182.728
13,913
982
4
98
17
Male
No
Yes
Caucasian
1,999
325
31.029
2,863
223
2
66
17
Male
Yes
Yes
Asian
415
326
17.765
5,072
364
1
66
12
Female
No
Yes
Caucasian
732
327
125.48
10,230
721
3
82
16
Male
No
Yes
Caucasian
1,361
328
49.166
6,662
508
3
68
14
Female
No
No
Asian
984
329
41.192
3,673
297
3
54
16
Female
No
Yes
Caucasian
121
330
94.193
7,576
527
2
44
16
Female
No
Yes
Caucasian
846
331
20.405
4,543
329
2
72
17
Male
Yes
No
Asian
1,054
332
12.581
3,976
291
2
48
16
Male
No
Yes
Caucasian
474
333
62.328
5,228
377
3
83
15
Male
No
No
Caucasian
380
334
21.011
3,402
261
2
68
17
Male
No
Yes
African American
182
335
24.23
4,756
351
2
64
15
Female
No
Yes
Caucasian
594
336
24.314
3,409
270
2
23
7
Female
No
Yes
Caucasian
194
337
32.856
5,884
438
4
68
13
Male
No
No
Caucasian
926
338
12.414
855
119
3
32
12
Male
No
Yes
African American
0
339
41.365
5,303
377
1
45
14
Male
No
No
Caucasian
606
340
149.316
10,278
707
1
80
16
Male
No
No
African American
1,107
341
27.794
3,807
301
4
35
8
Female
No
Yes
African American
320
342
13.234
3,922
299
2
77
17
Female
No
Yes
Caucasian
426
343
14.595
2,955
260
5
37
9
Male
No
Yes
African American
204
344
10.735
3,746
280
2
44
17
Female
No
Yes
Caucasian
410
345
48.218
5,199
401
7
39
10
Male
No
Yes
Asian
633
346
30.012
1,511
137
2
33
17
Male
No
Yes
Caucasian
0
347
21.551
5,380
420
5
51
18
Male
No
Yes
Asian
907
348
160.231
10,748
754
2
69
17
Male
No
No
Caucasian
1,192
349
13.433
1,134
112
3
70
14
Male
No
Yes
Caucasian
0
350
48.577
5,145
389
3
71
13
Female
No
Yes
Asian
503
351
30.002
1,561
155
4
70
13
Female
No
Yes
Caucasian
0
352
61.62
5,140
374
1
71
9
Male
No
Yes
Caucasian
302
353
104.483
7,140
507
2
41
14
Male
No
Yes
African American
583
354
41.868
4,716
342
2
47
18
Male
No
No
Caucasian
425
355
12.068
3,873
292
1
44
18
Female
No
Yes
Asian
413
356
180.682
11,966
832
2
58
8
Female
No
Yes
African American
1,405
357
34.48
6,090
442
3
36
14
Male
No
No
Caucasian
962
358
39.609
2,539
188
1
40
14
Male
No
Yes
Asian
0
359
30.111
4,336
339
1
81
18
Male
No
Yes
Caucasian
347
360
12.335
4,471
344
3
79
12
Male
No
Yes
African American
611
361
53.566
5,891
434
4
82
10
Female
No
No
Caucasian
712
362
53.217
4,943
362
2
46
16
Female
No
Yes
Asian
382
363
26.162
5,101
382
3
62
19
Female
No
No
African American
710
364
64.173
6,127
433
1
80
10
Male
No
Yes
Caucasian
578
365
128.669
9,824
685
3
67
16
Male
No
Yes
Asian
1,243
366
113.772
6,442
489
4
69
15
Male
Yes
Yes
Caucasian
790
367
61.069
7,871
564
3
56
14
Male
No
Yes
Caucasian
1,264
368
23.793
3,615
263
2
70
14
Male
No
No
African American
216
369
89
5,759
440
3
37
6
Female
No
No
Caucasian
345
370
71.682
8,028
599
3
57
16
Male
No
Yes
Caucasian
1,208
371
35.61
6,135
466
4
40
12
Male
No
No
Caucasian
992
372
39.116
2,150
173
4
75
15
Male
No
No
Caucasian
0
373
19.782
3,782
293
2
46
16
Female
Yes
No
Caucasian
840
374
55.412
5,354
383
2
37
16
Female
Yes
Yes
Caucasian
1,003
375
29.4
4,840
368
3
76
18
Female
No
Yes
Caucasian
588
376
20.974
5,673
413
5
44
16
Female
No
Yes
Caucasian
1,000
377
87.625
7,167
515
2
46
10
Female
No
No
African American
767
378
28.144
1,567
142
3
51
10
Male
No
Yes
Caucasian
0
379
19.349
4,941
366
1
33
19
Male
No
Yes
Caucasian
717
380
53.308
2,860
214
1
84
10
Male
No
Yes
Caucasian
0
381
115.123
7,760
538
3
83
14
Female
No
No
African American
661
382
101.788
8,029
574
2
84
11
Male
No
Yes
Caucasian
849
383
24.824
5,495
409
1
33
9
Male
Yes
No
Caucasian
1,352
384
14.292
3,274
282
9
64
9
Male
No
Yes
Caucasian
382
385
20.088
1,870
180
3
76
16
Male
No
No
African American
0
386
26.4
5,640
398
3
58
15
Female
No
No
Asian
905
387
19.253
3,683
287
4
57
10
Male
No
No
African American
371
388
16.529
1,357
126
3
62
9
Male
No
No
Asian
0
389
37.878
6,827
482
2
80
13
Female
No
No
Caucasian
1,129
390
83.948
7,100
503
2
44
18
Male
No
No
Caucasian
806
391
135.118
10,578
747
3
81
15
Female
No
Yes
Asian
1,393
392
73.327
6,555
472
2
43
15
Female
No
No
Caucasian
721
393
25.974
2,308
196
2
24
10
Male
No
No
Asian
0
394
17.316
1,335
138
2
65
13
Male
No
No
African American
0
395
49.794
5,758
410
4
40
8
Male
No
No
Caucasian
734
396
12.096
4,100
307
3
32
13
Male
No
Yes
Caucasian
560
397
13.364
3,838
296
5
65
17
Male
No
No
African American
480
398
57.872
4,171
321
5
67
12
Female
No
Yes
Caucasian
138
399
37.728
2,525
192
1
44
13
Male
No
Yes
Caucasian
0
400
18.701
5,524
415
5
64
7
Female
No
No
Asian
966